To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R") biocLite("prada")
In most cases, you don't need to download the package archive at all.
Bioconductor version: 2.13
Tools for analysing and navigating data from high-throughput phenotyping experiments based on cellular assays and fluorescent detection (flow cytometry (FACS), high-content screening microscopy).
Author: Florian Hahne <florian.hahne at novartis.com>, Wolfgang Huber <huber at ebi.ac.uk>, Markus Ruschhaupt, Joern Toedling <toedling at ebi.ac.uk>, Joseph Barry <joseph.barry at embl.de>
Maintainer: Florian Hahne <florian.hahne at novartis.com>
Citation (from within R,
enter citation("prada")
):
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R") biocLite("prada")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("prada")
R Script | Combining prada output and cellHTS | |
R Script | Removal of contaminants from FACS data | |
Reference Manual |
biocViews | CellBasedAssays, Software, Visualization |
Version | 1.38.0 |
In Bioconductor since | BioC 1.6 (R-2.1) or earlier |
License | LGPL |
Depends | R (>= 2.10), Biobase, RColorBrewer, grid, methods, rrcov |
Imports | Biobase, BiocGenerics, graphics, grDevices, grid, MASS, methods, RColorBrewer, rrcov, stats4, utils |
Suggests | cellHTS, tcltk |
System Requirements | |
URL | |
Depends On Me | cellHTS, domainsignatures, facsDorit, RNAither |
Imports Me | cellHTS2 |
Suggests Me |
Follow Installation instructions to use this package in your R session.
Package Source | prada_1.38.0.tar.gz |
Windows Binary | prada_1.38.0.zip (32- & 64-bit) |
Mac OS X 10.6 (Snow Leopard) | prada_1.38.0.tgz |
Browse/checkout source | (username/password: readonly) |
Package Downloads Report | Download Stats |
Common Bioconductor workflows include:
Post questions about Bioconductor packages to our mailing lists. Read the posting guide before posting!